Tag: API

DataCamp – Importing Data in Python (Part 2)

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Part 1 of this course can be found here: Importing Data in Python Part 1 From DataCamp: “As a Data Scientist, on a daily basis you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before doing any of these, however, you will need to know how to get data into Python. In the prequel to this course, you have already learnt many … Continue Reading

Gaming Analytics Summit

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Previous Event: April 26-27, 2017 – San Francisco, CA From Innovation Enterprise: The Gaming Analytics Innovation Summit provides a platform for leading executives to share unique insight into the innovations that are driving success in the World’s most successful AAA and indie organisations.  2017 Speakers 2017 Schedule

DataQuest – Working with Data Sources

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This course is step 4 of 6 in the DataQuest Data Analyst Path step 4 of 11 in the DataQuest Data Scientist Path. “Learn about working with data in different locations, including databases and on the web.” The curriculum for this step includes the following: APIs and Web Scraping: Working with APIs Intermediate APIs Web Scraping SQL and Databases: Beginner Introduction to SQL Logical Operators and Ordering Querying SQLite from Python … Continue Reading

Metis Data Science Bootcamp

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Learn Data Science in 12 weeks with 100% in-person instruction from expert data scientists.

Data Science at the Command Line

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This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.

Data Science from Scratch: First Principles with Python

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In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

Programming Collective Intelligence: Building Smart Web 2.0 Applications

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This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet.

Mining the Social Web

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With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.